基于脉冲红外热像技术的叶片缺陷识别  

The defect of wind turbine blade based on pulse infrared thermography method

作　　者：王琳琳 陈长征[2] 周勃[2] 康爽 Wang Linlin;Chen Changzheng;Zhou Bo;Kang Shuang(Liaoning Provincial College of Communications,Shenyang 110122,China;Shenyang University of Technology,Shenyang 110870,China;Baicheng Normal University,Baicheng 137000,China)

机构地区：[1]辽宁省交通高等专科学校,辽宁沈阳110122 [2]沈阳工业大学,辽宁沈阳110870 [3]白城师范学院,吉林白城137000

出　　处：《可再生能源》2025年第3期333-338,共6页Renewable Energy Resources

基　　金：国家自然科学基金项目(51675350);辽宁省教育厅基本科研项目(JYTMS20230152)。

摘　　要：针对风力机叶片缺陷类型识别问题,文章首先建立了缺陷热反射系数(R)物理模型,提出了基于热像信号重建技术和缺陷R相结合的方法;然后,利用长脉冲红外热像技术对含有气泡、杂质、褶皱的风力机叶片试件进行不同加热时间的试验。试验结果表明:长脉冲红外热像技术在温度冷却过程中能够识别叶片试件中的缺陷;通过热像信号重建技术处理后的热序图可以识别叶片的缺陷。试验结果和预测结果的误差很小,证明建立的叶片缺陷R物理模型是可行的。For the identification of wind turbine blade defect types.First,a physical models of thermal reflection coefficients of the defect were established.A new identification method of wind turbine blade defects based on the combination of thermal signal reconstruction technology and thermal reflection coefficient of defective materials was proposed.Then,the wind turbine blades specimen containing(bubble,impurity,wrinkle)was performed by the long-pulse infrared thermogaphy technology.The experiments were subjected to non-destructive testing for two heating times.It is found from the experiments results that the defects of wind turbine blade specimen could identify by long-pulse infrared thermal imaging technology at temperature cooling process.Experiments have proved that the physical models of the thermal reflection coefficient are feasible.The error between the test results and the prediction results is very small.

关 键 词：长脉冲红外热像技术 缺陷识别 热反射系数 热像信号重建技术 

分 类 号：TK81[动力工程及工程热物理—流体机械及工程]